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Ge Yan
Ge Yan
PhD of Computer Science, Shanghai Jiao Tong University
在 sjtu.edu.cn 的电子邮件经过验证
标题
引用次数
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年份
Parallel greedy algorithm to multiple influence maximization in social network
G Wu, X Gao, G Yan, G Chen
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021
232021
Quantumdarts: differentiable quantum architecture search for variational quantum algorithms
W Wu, G Yan, X Lu, K Pan, J Yan
International Conference on Machine Learning, 37745-37764, 2023
152023
Qas-bench: rethinking quantum architecture search and a benchmark
X Lu, K Pan, G Yan, J Shan, W Wu, J Yan
International Conference on Machine Learning, 22880-22898, 2023
82023
Towards quantum machine learning for constrained combinatorial optimization: a quantum qap solver
X Ye, G Yan, J Yan
International Conference on Machine Learning, 39903-39912, 2023
62023
Towards a native quantum paradigm for graph representation learning: A sampling-based recurrent embedding approach
G Yan, Y Tang, J Yan
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
42022
Quantum 3D graph learning with applications to molecule embedding
G Yan, H Wu, J Yan
International Conference on Machine Learning, 39126-39137, 2023
32023
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
Y Ge, W Wenjie, C Yuheng, P Kaisen, L Xudong, Z Zixiang, W Yuhan, ...
arXiv preprint arXiv:2407.00736, 2024
22024
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling
W Wu, Y Wang, G Yan, Y Zhao, J Yan
arXiv preprint arXiv:2404.07882, 2024
22024
Vqne: Variational quantum network embedding with application to network alignment
X Ye, G Yan, J Yan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
12023
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
G Yan, H Chen, K Pan, J Yan
The Twelfth International Conference on Learning Representations, 0
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